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Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis
Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995266/ https://www.ncbi.nlm.nih.gov/pubmed/29782219 http://dx.doi.org/10.1089/soro.2017.0135 |
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author | Bao, Guanjun Fang, Hui Chen, Lingfeng Wan, Yuehua Xu, Fang Yang, Qinghua Zhang, Libin |
author_facet | Bao, Guanjun Fang, Hui Chen, Lingfeng Wan, Yuehua Xu, Fang Yang, Qinghua Zhang, Libin |
author_sort | Bao, Guanjun |
collection | PubMed |
description | Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1990 to 2017 based on the Science Citation Index Expanded database. We present a detailed overview and discussion based on keywords, citation, h-index, year, journal, institution, country, author, and review articles. The results show that the United States takes the leading position in this research field, followed by China and Italy. Harvard University has the most publications, high average number of citations per publication and the highest h-index. IEEE Transactions on Robotics ranks first among the top 20 academic journals publishing articles related to this field, whereas Soft Robotics holds the top position in journals categorized with “ROBOTICS.” Actuator, fabrication, control, material, sensing, simulation, bionics, stiffness, modeling, power, motion, and application are the hot topics of soft robotics. Smart materials, bionics, morphological computation, and embodiment control are expected to contribute to this field in the future. Application and commercialization appear to be the initial driving force and final goal for soft robots. |
format | Online Article Text |
id | pubmed-5995266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Mary Ann Liebert, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59952662018-06-12 Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis Bao, Guanjun Fang, Hui Chen, Lingfeng Wan, Yuehua Xu, Fang Yang, Qinghua Zhang, Libin Soft Robot Invited Review Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1990 to 2017 based on the Science Citation Index Expanded database. We present a detailed overview and discussion based on keywords, citation, h-index, year, journal, institution, country, author, and review articles. The results show that the United States takes the leading position in this research field, followed by China and Italy. Harvard University has the most publications, high average number of citations per publication and the highest h-index. IEEE Transactions on Robotics ranks first among the top 20 academic journals publishing articles related to this field, whereas Soft Robotics holds the top position in journals categorized with “ROBOTICS.” Actuator, fabrication, control, material, sensing, simulation, bionics, stiffness, modeling, power, motion, and application are the hot topics of soft robotics. Smart materials, bionics, morphological computation, and embodiment control are expected to contribute to this field in the future. Application and commercialization appear to be the initial driving force and final goal for soft robots. Mary Ann Liebert, Inc. 2018-06-01 2018-06-01 /pmc/articles/PMC5995266/ /pubmed/29782219 http://dx.doi.org/10.1089/soro.2017.0135 Text en © Guanjun Bao et al. 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Invited Review Bao, Guanjun Fang, Hui Chen, Lingfeng Wan, Yuehua Xu, Fang Yang, Qinghua Zhang, Libin Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis |
title | Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis |
title_full | Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis |
title_fullStr | Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis |
title_full_unstemmed | Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis |
title_short | Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis |
title_sort | soft robotics: academic insights and perspectives through bibliometric analysis |
topic | Invited Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5995266/ https://www.ncbi.nlm.nih.gov/pubmed/29782219 http://dx.doi.org/10.1089/soro.2017.0135 |
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